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Neural Information Processing : Research and Development - Jagath Chandana Rajapakse

Neural Information Processing

Research and Development

By: Jagath Chandana Rajapakse (Editor), Lipo Wang (Editor)

Hardcover Published: 4th May 2004
ISBN: 9783540211235
Number Of Pages: 478

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The field of neural information processing has two main objects: investigation into the functioning of biological neural networks and use of artificial neural networks to sol ve real world problems. Even before the reincarnation of the field of artificial neural networks in mid nineteen eighties, researchers have attempted to explore the engineering of human brain function. After the reincarnation, we have seen an emergence of a large number of neural network models and their successful applications to solve real world problems. This volume presents a collection of recent research and developments in the field of neural information processing. The book is organized in three Parts, i.e., (1) architectures, (2) learning algorithms, and (3) applications. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights. The number of neurons and how they are connected to each other defines the architecture of a particular neural network. Part 1 of the book has nine chapters, demonstrating some of recent neural network architectures derived either to mimic aspects of human brain function or applied in some real world problems. Muresan provides a simple neural network model, based on spiking neurons that make use of shunting inhibition, which is capable of resisting small scale changes of stimulus. Hoshino and Zheng simulate a neural network of the auditory cortex to investigate neural basis for encoding and perception of vowel sounds.

Scale independence in the visual systemp. 1
Dynamic neuronal information processing of vowel sounds in auditory cortexp. 19
Convolutional spiking neural network for robust object detection with population code using structured pulse packetsp. 39
Networks constructed of neuroid elements capable of temporal summation of signalsp. 56
Predictive synchrony organized by spike-based Hebbian learning with time-representing synfire activitiesp. 77
Improving Chow-Liu tree performance by mining association rulesp. 94
A reconstructed missing data-finite impulse response selective ensemble (RMD-FSE) networkp. 113
Higher order multidirectional associative memory with decreasing energy functionp. 128
Fast indexing of codebook vectors using dynamic binary search trees with fat decision hyperplanesp. 150
On some external characteristics of brain-like learning and some logical flaws of connectionismp. 167
Superlinear learning algorithm designp. 180
Extension of binary neural networks for multi-class output and finite automatap. 211
A memory-based reinforcement learning algorithm to prevent unlearning in neural networksp. 238
Structural optimization of neural networks by genetic algorithm with degeneration (GA[supscript d])p. 256
Adaptive training for combining classifier ensemblesp. 278
Combination strategies for finding optimal neural network architecture and weightsp. 294
Biologically inspired recognition systems for car detection from real-time video streamsp. 320
Financial time series prediction using non-fixed and asymmetrical margin setting with momentum in support vector regressionp. 334
A method for applying neural networks to control of nonlinear systemsp. 351
Robot manipulator control via recurrent neural networksp. 370
Gesture recognition based on SOM using multiple sensorsp. 387
Enhanced phrase-based document clustering using self-organizing map (SOM) architecturesp. 405
Discovering gene regulatory networks from gene expression data with the use of evolving connectionist systemsp. 425
Experimental analysis of knowledge based multiagent credit assignmentp. 437
Implementation of visual tracking system using artificial retina chip and shape memory alloy actuatorp. 460
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540211235
ISBN-10: 3540211233
Series: Studies in Fuzziness and Soft Computing
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 478
Published: 4th May 2004
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 2.69
Weight (kg): 0.86